Solution of the self-consistent field model for polymer adsorption by genetic algorithms

A Genetic Algorithm (GA) is used to solve the equations of the self-consistent field model for polymer adsorption on a surface. The solution is cast as an optimization problem and a GA is used as a function optimizer to solve this problem. Comparison is made with a traditional gradient-based approach. It was found that convergence properties will improve if the GA is cascaded with a gradient search method. This cascaded search method guarantees convergence from any random initial population of guesses and does not need insight into the physics of the problem.